TD Ameritrade Hiring For Senior Data Scientist Engineer at Phoenix, AZ Full Time

This role can be telecommute.

Schwab Technology Services (STS) Schwabs development and use of information technology, including all client and business, telecommunications, management, and operations technologies. Our work supports and spans every line of business within Schwab. From our web site to wireless, call centers to branches, STS demonstrates leadership through innovative solutions and phenomenal technology that provide our clients with fantastic service.

Schwab’s Cybersecurity Organization (SCS) is chartered with advancing Schwab’s security posture, enabling the business to take intelligent risks while improving the protection of Schwab’s brand, employees, shareholders, data, and other critical assets.

What you are good at

As a Senior Member within the Cybersecurity Application Development and Engineering Team, you’ll serve as a versatile senior developer data scientist, delivering data backed products that advance our security posture and response capabilities. You’ll exercise your expertise in Data Science, Data Engineering, Enterprise IT Operations, Systems Monitoring, and Technology Orchestration practices to bring a holistic technology perspective to outstanding security challenges.

Using your technical leadership experience in the previous mentioned areas, you’ll provide thought leadership in the delivery of products to magnify our Security Operations staff, furthering their capabilities to detect and counter complex, emerging, and unique threats.

What you have

We are looking for adaptable, hardworking data scientist developers who relish the opportunity to see their code and presentations make a difference by using their expertise and experience in the following:

Code source control, unit testing, ML model development and testing, and agile methodologies is paramount.
Enterprise System Monitoring and the automation of incident response.
Orchestration and Automation products
Thought leadership with Python, C#, .Net, RESTFul Methodologies, Git, and Continuous Integration/Deployment tooling.
Machine learning frameworks (sci kit learn and tensor flow) and model development (experience with different types of classifiers, hyper parameter tuning, etc.).
Crafting scalable deployment strategies for model training and prediction.
Machine learning in the cloud (preferably GCP). Experience with data pre-processing tools like GCP’s Dataflow
Reporting/visualization of machine learning model metrics.
Creating software architecture documents, demonstrated efficiency influencing the cross-organizational teams to align with your direction.
Keep current technology trends and innovations and bring new techniques to your team and projects
Capable of clearly articulating sophisticated technical issues to all levels of the organization. Highly motivated self-starter and standout colleague.
Passionate about technology and committed to continual improvement.
Great problem solver with ability to quickly identify bottlenecks, potential problems in multi-process, multi-threaded code.